$GTCH Hippocrates will work by understanding a user's question, analyzing the information drawn from its aforementioned vast resources, and formulate a conclusion and advise the user accordingly. The system's big data incorporates components of data mining, statistics, and predictive analysis, extracting knowledge and insights from huge amounts of information.

GBT plans to pair Hippocrates with its qTerm human vital signs device next year, as well. Rittman said this will occur once web and mobile applications have been completed for Hippocrates.

"We believe that integrating qTerm with Hippocrates is a natural stage that we'll go through," he said. "We expect that to probably happen six months from now since we're still training Hippocrates and want to build it a mobile application, a new interface."

The qTerm, like Hippocrates, employs AI, but also measures a user's body temperature, blood oxygen level, and heart rate. Currently, the qTerm's AI provides ongoing health monitoring based on the data it measures, but Rittman explained the significance of integrating Hippocrates.

"It's not going to be just another thing like temperature or an oximeter that takes your vitals," he said. "It's actually going to be a whole system behind the scenes running, the same as the qTerm, with a user account, all private and secure, and will become a health assistant."

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